Senior Data Scientist
Job Location:
Job Location:
Chicago, IL - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
9 days ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Must have:
Claims Analytics
Insurance Risk Modeling
Incident Prediction
Fraud Analytics
Severity Modeling
Explainable AI (SHAP LIME etc.)
Hospitality Industry Analytics
Travel Industry Analytics
Data Governance
PII Handling
Data Architecture
Databricks
Snowflake
Natural Language Processing
o Text Classification
o NLP Pipelines
o LLM Applications
o Claims / Incident Narrative Analysis
Operations Research & Optimization
Develop optimization solutions utilizing:
Linear Programming (LP)
Integer Programming (IP)
Mixed Integer Programming (MIP)
CPLEX
Gurobi
Apply mathematical optimization techniques to business and operational challenges
Support resource allocation and decision optimization initiatives
Claims Analytics
Insurance Risk Modeling
Incident Prediction
Fraud Analytics
Severity Modeling
Explainable AI (SHAP LIME etc.)
Hospitality Industry Analytics
Travel Industry Analytics
Data Governance
PII Handling
Data Architecture
Databricks
Snowflake
Natural Language Processing
o Text Classification
o NLP Pipelines
o LLM Applications
o Claims / Incident Narrative Analysis
Operations Research & Optimization
Develop optimization solutions utilizing:
Linear Programming (LP)
Integer Programming (IP)
Mixed Integer Programming (MIP)
CPLEX
Gurobi
Apply mathematical optimization techniques to business and operational challenges
Support resource allocation and decision optimization initiatives
Data Science & Advanced Analytics
Develop predictive analytics and statistical modeling solutions
Build record-linkage and entity-resolution models where unique identifiers do not exist
Support large-scale data analysis across enterprise datasets
Work with structured semi-structured and unstructured data sources
5 years of Data Science Machine Learning Operations Research or related experience
o 2 years may be acceptable with a relevant PhD
Proven experience building production-grade machine learning solutions
Strong experience with predictive analytics and risk modeling
Experience deploying models into enterprise environments
Experience working with large datasets and scalable architectures
Agile delivery experience
Develop predictive analytics and statistical modeling solutions
Build record-linkage and entity-resolution models where unique identifiers do not exist
Support large-scale data analysis across enterprise datasets
Work with structured semi-structured and unstructured data sources
5 years of Data Science Machine Learning Operations Research or related experience
o 2 years may be acceptable with a relevant PhD
Proven experience building production-grade machine learning solutions
Strong experience with predictive analytics and risk modeling
Experience deploying models into enterprise environments
Experience working with large datasets and scalable architectures
Agile delivery experience
Programming & Data Technologies
Python
SQL
Spark
Python
SQL
Spark
Position Overview
Hyatt is seeking a Senior Data Scientist to lead the development of advanced Machine Learning Natural Language Processing (NLP) Artificial Intelligence and Operations Research solutions supporting enterprise Risk Management Claims Analytics Incident Mitigation and business optimization initiatives.
This role will partner closely with Risk Management Legal Data Engineering Data Governance BI and MLOps teams to design deploy and optimize predictive and optimization models that directly impact business outcomes.
This is not a reporting-focused or dashboard-oriented Data Scientist role.
Hyatt is specifically looking for a hands-on practitioner capable of building production-grade AI and Machine Learning solutions that can identify high-risk incidents predict claim severity optimize business decisions and deliver explainable insights to business stakeholders.
Hyatt is seeking a Senior Data Scientist to lead the development of advanced Machine Learning Natural Language Processing (NLP) Artificial Intelligence and Operations Research solutions supporting enterprise Risk Management Claims Analytics Incident Mitigation and business optimization initiatives.
This role will partner closely with Risk Management Legal Data Engineering Data Governance BI and MLOps teams to design deploy and optimize predictive and optimization models that directly impact business outcomes.
This is not a reporting-focused or dashboard-oriented Data Scientist role.
Hyatt is specifically looking for a hands-on practitioner capable of building production-grade AI and Machine Learning solutions that can identify high-risk incidents predict claim severity optimize business decisions and deliver explainable insights to business stakeholders.
What Hyatt Actually Needs
Hyatt is not looking for a generic Data Scientist.
They are hiring a:
AI & Risk Analytics Specialist who can build production-ready machine learning NLP and optimization models that help Hyatt predict prioritize and mitigate risk before incidents become costly claims.
The primary mission of this role is to:
Predict which incidents are most likely to become claims
Forecast claim severity and financial exposure
Analyze unstructured incident and claims narratives using NLP and LLM technologies
Develop explainable AI solutions that business stakeholders can trust
Apply Operations Research techniques to optimize business decisions and resource allocation
Deliver scalable production models that integrate into enterprise workflows
This role sits at the intersection of:
Risk Analytics AI/ML NLP Operations Research Business Optimization
Hyatt is not looking for a generic Data Scientist.
They are hiring a:
AI & Risk Analytics Specialist who can build production-ready machine learning NLP and optimization models that help Hyatt predict prioritize and mitigate risk before incidents become costly claims.
The primary mission of this role is to:
Predict which incidents are most likely to become claims
Forecast claim severity and financial exposure
Analyze unstructured incident and claims narratives using NLP and LLM technologies
Develop explainable AI solutions that business stakeholders can trust
Apply Operations Research techniques to optimize business decisions and resource allocation
Deliver scalable production models that integrate into enterprise workflows
This role sits at the intersection of:
Risk Analytics AI/ML NLP Operations Research Business Optimization
Core Responsibilities
Machine Learning & Predictive Modeling
Design develop deploy and optimize machine learning models
Build incident prioritization and claim severity prediction models
Develop risk-scoring frameworks for proactive risk identification
Perform feature engineering across structured and unstructured datasets
Monitor model performance drift retraining requirements and scoring quality
Machine Learning & Predictive Modeling
Design develop deploy and optimize machine learning models
Build incident prioritization and claim severity prediction models
Develop risk-scoring frameworks for proactive risk identification
Perform feature engineering across structured and unstructured datasets
Monitor model performance drift retraining requirements and scoring quality
Natural Language Processing (NLP) & AI
Develop NLP solutions for claims and incident narrative analysis
Build text classification and language-processing pipelines
Leverage Large Language Models (LLMs) to extract business insights
Generate explainable AI outputs and risk-driver analysis
Apply AI techniques to improve operational decision-making
Develop NLP solutions for claims and incident narrative analysis
Build text classification and language-processing pipelines
Leverage Large Language Models (LLMs) to extract business insights
Generate explainable AI outputs and risk-driver analysis
Apply AI techniques to improve operational decision-making
Data Science & Advanced Analytics
Develop predictive analytics and statistical modeling solutions
Build record-linkage and entity-resolution models where unique identifiers do not exist
Support large-scale data analysis across enterprise datasets
Work with structured semi-structured and unstructured data sources
Develop predictive analytics and statistical modeling solutions
Build record-linkage and entity-resolution models where unique identifiers do not exist
Support large-scale data analysis across enterprise datasets
Work with structured semi-structured and unstructured data sources
Cross-Functional Collaboration
Partner with Risk Management Legal Data Engineering Data Governance BI and MLOps teams
Translate business requirements into technical solutions
Present findings and recommendations to technical and executive stakeholders
Mentor junior Data Scientists and contribute to team best practices
Partner with Risk Management Legal Data Engineering Data Governance BI and MLOps teams
Translate business requirements into technical solutions
Present findings and recommendations to technical and executive stakeholders
Mentor junior Data Scientists and contribute to team best practices
Documentation & Governance
Create documentation covering methodology assumptions validation approaches and limitations
Support model governance and explainability requirements
Ensure compliance with data governance privacy and security standards
Create documentation covering methodology assumptions validation approaches and limitations
Support model governance and explainability requirements
Ensure compliance with data governance privacy and security standards
Machine Learning Frameworks
Scikit-Learn
XGBoost
TensorFlow
PyTorch
MXNet
LLM Frameworks
Cloud Platforms
AWS
Azure
GCP
DevOps & MLOps
CI/CD
MLOps Frameworks
Model Deployment & Monitoring
Scikit-Learn
XGBoost
TensorFlow
PyTorch
MXNet
LLM Frameworks
Cloud Platforms
AWS
Azure
GCP
DevOps & MLOps
CI/CD
MLOps Frameworks
Model Deployment & Monitoring
Education
Required:
Masters Degree in:
o Computer Science
o Statistics
o Industrial Engineering
o Operations Research
o Related Technical Field
Preferred:
PhD in a relevant discipline
Required:
Masters Degree in:
o Computer Science
o Statistics
o Industrial Engineering
o Operations Research
o Related Technical Field
Preferred:
PhD in a relevant discipline
Ideal Candidate Profile
The strongest candidates will demonstrate:
Deep Operations Research expertise
Strong AI/ML engineering capabilities
Hands-on NLP and LLM experience
Experience building production machine learning systems
Claims risk or incident analytics experience
Ability to communicate complex analytical findings to business stakeholders
Strong understanding of model explainability and governance
Experience deploying scalable enterprise AI solutions
This role is best suited for a senior-level Data Scientist who can move beyond experimentation and deliver measurable business value through production-ready AI NLP and optimization solutions.
The strongest candidates will demonstrate:
Deep Operations Research expertise
Strong AI/ML engineering capabilities
Hands-on NLP and LLM experience
Experience building production machine learning systems
Claims risk or incident analytics experience
Ability to communicate complex analytical findings to business stakeholders
Strong understanding of model explainability and governance
Experience deploying scalable enterprise AI solutions
This role is best suited for a senior-level Data Scientist who can move beyond experimentation and deliver measurable business value through production-ready AI NLP and optimization solutions.
